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A company has a large collection of chat recordings from customer interactions after a product...

Amazon Web Services MLA-C01 Full Course Access
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A company has a large collection of chat recordings from customer interactions after a product release. An ML engineer needs to create an ML model to analyze the chat data. The ML engineer needs to determine the success of the product by reviewing customer sentiments about the product.

Which action should the ML engineer take to complete the evaluation in the LEAST amount of time?

A.

Use Amazon Rekognition to analyze sentiments of the chat conversations.

B.

Train a Naive Bayes classifier to analyze sentiments of the chat conversations.

C.

Use Amazon Comprehend to analyze sentiments of the chat conversations.

D.

Use random forests to classify sentiments of the chat conversations.

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